SONOTELLER

SONOTELLER is an artificial intelligence-powered tool designed for analyzing songs by examining both their lyrical content and musical attributes. Users can input any song—either by searching for a specific track or by pasting lyrics—and the system returns a detailed breakdown of the song’s themes, emotions, and structural components. The analysis covers lyrical patterns such as recurring keywords, sentiment polarity, narrative arcs, and thematic clusters (e.g., love, rebellion, nostalgia), as well as musical features like tempo, key, chord progression, and instrumentation. For example, when analyzing Bob Dylan’s "Like a Rolling Stone," the tool might identify the song’s cynical tone, its use of rhetorical questions, and the driving guitar riff that underpins the verses. The platform also offers automatic music tagging, generating descriptive labels for each song—such as "melancholic," "acoustic-driven," or "storytelling-focused"—based on a combination of textual and audio signals. This feature is particularly useful for music enthusiasts, podcasters, playlist curators, and writers who need to categorize large libraries of songs without manual effort. Users can browse random, recent, or trending songs on the homepage to discover new music or explore hidden patterns in familiar tracks. Beyond individual analysis, SONOTELLER supports batch processing, allowing users to upload CSV files containing multiple song titles or lyrics and receive a spreadsheet of analysis results. Each row in the output includes the predicted mood, energy level, lyrical complexity score, and suggested genre tags. The tool also provides visualizations such as word clouds for lyrics, sentiment graphs over time, and pitch histograms for music. For creators and researchers, SONOTELLER can be used to